近日，省农业农村厅印发《四川智慧农业行动计划（2025―2028年）》（下称《行动计划》）。目前， 四川已启动智慧农业公共服务能力提升、智慧农业重点领域拓展、智慧农业发展创新应用3大行动10项 重点任务。《行动计划》明确，到2028年全省建成高水平智慧农场200个、智慧牧场50个、智慧渔场20 个。 智慧农场是什么？核心是应用环境监测调控、水肥药精准管理、无人巡检运输、智能农机等，推动大田 种植与设施种植。据介绍，四川将分阶段推进智慧农场建设：今年，推动粮油作物、经济作物等设施农 业生产数字化改造升级，开展设施蔬菜、设施中药材等植物工厂试点，建设1个智能化设施种植项目； 针对茶叶、泡菜、中药材等农产品加工企业，促进设施设备数字化改造，实施智改数转项目5个…… 智慧牧场则以生猪、牛、羊等为重点，应用个体体征监测、疾病智能诊断、精准配方饲喂、自动采集清 污等技术装备。目前，已在德阳市旌阳区、绵阳市三台县、南充市南部县、阿坝州红原县等地进行试 点。 四川如何推进智慧农业发展？"智慧化"将体现在哪些环节？ 科技手段贯穿农业全流程 "我们通过智慧化流水线育秧，使秧苗成苗率提高到了95%以上。"广元市苍溪县益康粮油专业合 ...

每经AI快讯，托普云农（SZ 301556，收盘价：94.09元）9月26日晚间发布公告称，公司第四届第十六 次董事会会议于2025年9月26日在公司会议室以现场及通讯结合的方式召开。会议审议了《关于召开 2025年第二次临时股东会的议案》等文件。 2024年1至12月份，托普云农的营业收入构成为：智慧农业行业占比100.0%。 截至发稿，托普云农市值为80亿元。 每经头条（nbdtoutiao）——5年增长33倍，这类新险种卖爆了，身边很多人都需要，30多家险企蜂拥而 入⋯⋯ （记者 曾健辉） ...

Group 1 - The core viewpoint of the article highlights the strategic partnerships formed by KJ Supply Chain Co., Ltd. with four major brands across different industries to enhance digital transformation and intelligent upgrades in supply chain management [2][3]. - KJ Supply Chain will provide customized smart supply chain solutions based on the specific characteristics and needs of each industry partner [2][3]. - The collaboration with Lenovo focuses on local storage and rapid allocation of goods, leveraging KJ's extensive warehousing network of over 160 locations [2][4]. Group 2 - The partnership with Jianmin Pharmaceutical aims to optimize supply chain management, enhance operational efficiency, and reduce delivery times and damage rates [3][4]. - KJ Supply Chain will offer one-stop operational services for e-commerce channels in collaboration with Zhenyan Biotechnology, utilizing major platforms like Tmall, JD, and Amazon [3][4]. - The cooperation with Heidi Garden will explore innovative paths in smart agriculture, establishing a standardized operational system across the entire supply chain from procurement to delivery [3][4]. Group 3 - KJ Supply Chain has a strong foundation in the smart supply chain sector, with a peak order processing capacity of 5 million orders per day and coverage in approximately 300 cities nationwide [4]. - The company has also established overseas warehouse networks in several Southeast Asian countries, indicating its capability in both domestic and cross-border logistics [4]. - Future plans include continuing to focus on customer needs and leveraging industry experience and technological innovation to deepen the application of smart supply chains across various sectors [4].

Core Viewpoint - The National Market Supervision Administration has issued guidelines to accelerate the digitalization of quality certification, leveraging AI and big data to enhance the credibility of agricultural products, smart products, and digital services [1][2]. Group 1: Goals and Timeline - The guidelines set specific goals in two phases: by 2030, to improve the top-level institutional design for quality certification digitalization and establish digital evaluation rules; by 2035, to fully develop a clear and innovative quality certification digital technology system [2]. Group 2: Focus Industries - The digital certification will initially focus on industries such as industrial internet, smart manufacturing, green low-carbon initiatives, and industrial software, promoting the transition from traditional to smart and green manufacturing [3]. - In agriculture, the guidelines encourage integrating quality certification into smart farms and fisheries, enhancing intelligent perception, precise control, and full-chain traceability management [3]. - The service sector will also be targeted, with a focus on creating a systematic service certification support system for education, healthcare, elderly care, smart cities, digital communities, and fintech [3]. Group 3: Consumer Experience - The ultimate goal of digital quality certification is to make trust transmission more efficient and consumer choices simpler, allowing consumers to scan a QR code to access comprehensive information about a product's supply chain [4]. - This system aims to eliminate concerns about product origins and quality, providing transparency through a single code that reveals all relevant information [4].

Core Insights - The article highlights the transformation of a saline-alkali land in Shandong Lijin into a high-tech vegetable factory, the Kaisheng Haofeng (Lijin) Smart Agriculture Demonstration Park, which produces high-quality cherry tomatoes year-round without relying on traditional farming methods [1][3]. Group 1: Agricultural Innovation - The demonstration park utilizes an intelligent management system to monitor and control 240 parameters such as temperature, humidity, and nutrient levels, allowing for a yield of 30 kg per square meter, which is 5 to 6 times higher than traditional greenhouses [3][6]. - The facility employs a soil-less cultivation method using rock wool substrates and bee pollination techniques, achieving clean production with zero heavy metals, zero pesticide residues, and zero hormones [6]. Group 2: Economic Impact - The park has created over 200 local jobs, with an average annual income increase of 60,000 yuan per person, significantly improving the livelihoods of local villagers [5]. - Workers like Qin Shuai have reported substantial income increases, earning around 300 yuan daily through piecework, compared to previous jobs with monthly incomes below 3,000 yuan [5]. Group 3: Market Reach and Sustainability - The products are marketed through a nationwide sales network, leveraging e-commerce platforms like Tmall, JD.com, and offline retailers, ensuring delivery to consumers' tables within 48 hours [5]. - The park serves as a replicable model for agricultural transformation in saline-alkali regions, promoting a shift towards standardized, chain-oriented, and smart agricultural practices [6].

宇树科技近日宣布，将其四足机器人Go2应用于智慧农业领域；全国首台冬枣采摘机器人在陕西大荔投入应 用；中国科学院遗传与发育生物学研究所研制出世界首台可自动巡航杂交授粉的智能育种机器人……人工智 能应用于农业的最新探索引人关注。 国务院日前印发的《关于深入实施"人工智能+"行动的意见》提出，加快农业数智化转型升级。加快人工智能 驱动的育种体系创新，支持种植、养殖等农业领域智能应用。加强人工智能在农业生产管理、风险防范等领 域应用，帮助农民提升生产经营能力和水平。人工智能在农业领域的应用进展如何？怎样推动农业数智化转 型升级？记者采访了有关经营主体和专家。 智慧农业快速发展 在安徽农垦集团数字农业管理平台展示中心的大屏幕上，人们可以看到位于安徽怀远县龙亢农场万亩稻田里2 架巡田无人机自主飞行作业的场景。通过低空多光谱无人机传回作物长势情况，结合地面AR鹰眼视频监控， AI可自动识别草情、病虫害。工作人员说，龙亢农场去年引进智慧糯稻产业集群项目，虫情测报站、孢子捕 捉仪、杀虫灯等采集数据，平台进行AI分析、智能识别害虫后，将指令发布给无人机。农技人员经现场确认 后，用无人机"精准点杀"，可节约农药成本10%至20% ...

金秋时节，粮满仓、果满枝，各地丰收节庆典描绘出农业增收喜人画卷。 从实验室到田间地头，从深海牧场到数字云端，2025年中国农民丰收节见证了科技创新如何重塑传 统农业。"建设农业强国，利器在科技。"正如农业农村部副部长张兴旺所言，"我国坚持把农业科技创 新摆在突出位置，加大政策支持力度，狠抓重点任务落实。我国农业科技创新整体水平现在已经进入世 界第一方阵。" 在这片充满希望的田野上，科技创新结满"致富果"，书写着乡村振兴新篇章。 种子是农业的"芯片"，今年丰收节期间，种业创新成果展示成为重要板块。在四川省农业科学院新 都基地举办的丰收节活动现场，"川蒜3号"蒜薹、"黑亮59"茄子、"旌黑甜糯1号"玉米等院地合作新品种 整齐陈列。 "截至目前，我们的1474个新品种、1124项新技术已扎根新都田间，为农业现代化注入科技动 能。"四川省农业科学院院长牟锦毅介绍，该院自2008年起与新都共建西南最大农业科研实验基地，到 如今已成功培育"川蒜""川薯"等系列品种，建成3700亩"五良融合"智慧示范农场。 数字技术正在深刻改变传统农业的面貌。在今年的丰收节上，智慧农业成果颇为吸睛。在举办上海 主会场活动的金山廊下生态园， ...

为撬动更多社会资本助力产业强区建设，溧水区正在设立区级国企投资基金。据悉，该基金由南京市创 新投资集团下属子公司南京紫金创投基金管理有限公司担任管理人，锚定"两新两智"产业赛道的投资方 向，搭建市场化子基金，同时，紧盯高能级、高潜力项目，通过直跟投或搭建专项基金的方式，助力重 大项目落地溧水，通过"基金+招商"的模式提高项目落地效率。 溧水区有关负责人表示，溧水区将集中资源、集成服务，迭代升级"五办集成、五证齐发"工作机制，落 实服务专员挂钩联系企业制度和为企服务"五件事"工作机制，为企业发展全程护航，全力打造最优营商 环境，与企业携手并进，共创美好未来。未来5年，溧水区将围绕"智造出新、山水出彩的江南新城"发 展愿景，着力建设产研融合的智造之城、双向开放的枢纽之区、共同富裕的和美之地、近悦远来的人文 之邑，加速融入长三角一体化发展的快车道。 此外，22日下午，以"新合作新基会"为主题的溧水区"两新两智"产业项目招投联动路演活动成功举办， 天固信安、山海氢等4个项目上台汇报，基金、投资和金融机构嘉宾从专业视角出发，对项目的可行 性、投资价值等进行了深入点评与分析。现场40余个近期在谈需基金投资项目滚动播放，让 ...

新华财经成都9月24日电 四川省农业农村厅近日印发《四川智慧农业行动计划（2025—2028年）》（简 称《行动计划》），明确到2028年全省建成高水平智慧农场200个、智慧牧场50个、智慧渔场20个。四 川已启动智慧农业公共服务能力提升、重点领域拓展、发展创新应用3大行动10项重点任务。 同时，四川还将融合应用卫星遥感、无人机遥感、地面物联网传感等监测数据，绘制全省统一的农业农 村用地"一张图"，建设永久基本农田、高标准农田、承包地等专题图层。 四川将分阶段推进智慧农场建设：2025年推动粮油作物、经济作物等设施农业生产数字化改造升级，开 展设施蔬菜、设施中药材等植物工厂试点，建设1个智能化设施种植项目；针对茶叶、泡菜、中药材等 农产品加工企业，促进设施设备数字化改造，实施5个智改数转项目。 （文章来源：新华财经） 智慧牧场则以生猪、牛、羊等为重点，应用个体体征监测、疾病智能诊断、精准配方饲喂、自动采集清 污等技术装备。目前，四川已在德阳市旌阳区、绵阳市三台县、南充市南部县、阿坝州红原县等地进行 试点。 智慧渔场方面，四川将以天府鱼子酱、川南早虾、鮰鱼白乌鱼产业集群建设为抓手，在内江市市中区、 隆昌市，宜宾 ...

Core Viewpoint - The article emphasizes the significant role of smart agriculture in enhancing agricultural productivity and efficiency through the integration of technology, particularly in the Changji Hui Autonomous Prefecture of Xinjiang, China. Group 1: Smart Agriculture Development - The central government supports the development of smart agriculture, expanding the application of technologies such as artificial intelligence and big data in agriculture [1] - Changji has implemented smart agriculture practices, leading to a projected 8% increase in yield for major grain and cotton crops, with an average cost reduction of over 150 yuan per mu [1] - The Changji region has established high-standard farmland covering 5.3 million mu and promoted smart fertilization technology over 3.8 million mu [3] Group 2: Technological Integration - The Hui'er Smart Farm utilizes a centralized intelligent control system and various technologies, including soil moisture sensors and smart irrigation systems, to monitor and manage crop growth in real-time [2] - Smart irrigation systems in the farm save approximately 40 cubic meters of water per mu and increase income by around 200 yuan per mu compared to traditional methods [2] - The integration of satellite navigation and drones has led to a mechanization level of 98.55% in planting operations [3] Group 3: Training and Skill Development - Changji has established a high-standard digital agriculture training base, training over 20,000 farmers to improve their technical skills in smart agriculture [3] - Farmers have reported increased confidence in operating smart agricultural equipment after receiving training [3] Group 4: Application Scenarios - The "2+N" application scenario system in Changji includes smart cotton fields and agricultural training bases, promoting the digital transformation of agricultural production [5] - The smart demonstration cotton fields have achieved full mechanization from planting to harvesting, showcasing the effectiveness of smart irrigation and monitoring technologies [5] Group 5: Infrastructure and Resource Management - Changji has focused on enhancing water resource management to support smart agriculture, including the construction of small reservoirs to improve drought resistance [9][10] - The region has built a digital agriculture data platform and a county-level computing center to facilitate data integration and management in agriculture [7] Group 6: Economic Impact and Industry Growth - The development of smart agriculture has led to the establishment of a digital agriculture intelligent equipment industrial park in Manas County, supporting the local economy [11] - The region has cultivated 196 key agricultural enterprises and 1,249 farmer cooperatives, promoting a model of "enterprise + base + farmer" to enhance agricultural productivity [11]